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Performance analysis of an integrated fixed bed gasifier model for different biomass feedstocks CQU.pdf (629.45 kB)

Performance analysis of an integrated fixed bed gasifier model for different biomass feedstocks

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Version 3 2022-10-25, 03:32
Version 2 2022-08-30, 03:11
Version 1 2017-12-06, 00:00
journal contribution
posted on 2022-10-25, 03:32 authored by Sharmina Begum, Mohammad RasulMohammad Rasul, Delwar AkbarDelwar Akbar, N Ramzan
Energy recovery from biomass by gasification technology has attracted significant interest because it satisfies a key requirement of environmental sustainability by producing near zero emissions. Though it is not a new technology, studies on its integrated process simulation and analysis are limited, in particular for municipal solid waste (MSW) gasification. This paper develops an integrated fixed bed gasifier model of biomass gasification using the Advanced System for Process ENngineering (Aspen) Plus software for its performance analysis. A computational model was developed on the basis of Gibbs free energy minimization. The model is validated with experimental data of MSW and food waste gasification available in the literature. A reasonable agreement between measured and predicted syngas composition was found. Using the validated model, the effects of operating conditions, namely air-fuel ratio and gasifier temperature, on syngas production are studied. Performance analyses have been done for four different feedstocks, namely wood, coffee bean husks, green wastes and MSWs. The ultimate and proximate analysis data for each feedstock was used for model development. It was found that operating parameters have a significant influence on syngas composition. An air-fuel ratio of 0.3 and gasifier temperature of 700 °C provides optimum performance for a fixed bed gasifier for MSWs, wood wastes, green wastes and coffee bean husks. The developed model can be useful for gasification of other biomasses (e.g., food wastes, rice husks, poultry wastes and sugarcane bagasse) to predict the syngas composition. Therefore, the study provides an integrated gasification model which can be used for different biomass feedstocks.

History

Volume

6

Issue

12

Start Page

6508

End Page

6524

Number of Pages

17

ISSN

1996-1073

Location

Switzerland

Publisher

M D P I AG

Additional Rights

CC BY 3.0

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • Yes

External Author Affiliations

Institute for Resource Industries and Sustainability (IRIS); School of Business and Law (2013- ); School of Engineering and Technology (2013- ); University of Engineering and Technology;

Era Eligible

  • Yes

Journal

Energies.

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